It's interesting that there are almost no comments on this. This feels like some of the most exciting and impactful fields of the next years. I worked with a cracked researcher that was generating molecules a couple of years ago. She spent most of her time fighting cuda bugs and trying installing packages. I wonder if the ecosystem matured right now. There are people studying cells to see what enters and what exits and engineer how to stop, for example, resources feeding a bad cell. Possibilities feel endless. I am a little worried about side effects, since bio is way more chaotic than silicon, but hopefully AI will help with that level of chaos too.

we interviewed Alex Rives, cofounder of EvoScale and Head of Science at BioHub - here https://www.latent.space/p/esmfold2

also 3 paper coauthors walked thru it with us: https://youtu.be/4g1bURdKN0Q

all this is part of the new AI for Science effort we are spinning up at Latent Space - all guidance and support would be greatly appreciated as this is a much harder domain to cover than software